You can use FastAI's vision_learner for artistic style transfer by defining a custom loss that combines content and style losses and optimizing a generated image.
Here is the code example:
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In the above code, we are using the following key points:
- Pre-trained Model: Use VGG as a feature extractor for style and content representations.
- Custom Loss: Combine content loss and style loss to guide image generation.
- Optimization: Train a generated image to minimize the combined loss using FastAI's framework.
Hence, You can utilize FastAI s vision learner for artistic style transfer tasks.